\begin{tabular}{p{.45\textwidth}*{4}{r@{}l}}
\hline
\hline
& \multicolumn{2}{c}{Model 1} & \multicolumn{2}{c}{Model 2}  \\
\hline
treated             &      -0.388&***&      -0.443&***&      -0.376&***&      -0.381&***\\
                    &     (0.118)&   &     (0.112)&   &     (0.113)&   &     (0.121)&   \\
v04b                &      -0.019&*  &      -0.022&** &      -0.017&   &      -0.018&   \\
                    &     (0.010)&   &     (0.011)&   &     (0.011)&   &     (0.011)&   \\
population          &       0.000&***&       0.000&***&       0.000&***&       0.000&***\\
                    &     (0.000)&   &     (0.000)&   &     (0.000)&   &     (0.000)&   \\
v106                &       0.001&   &      -0.003&   &       0.002&   &       0.001&   \\
                    &     (0.005)&   &     (0.005)&   &     (0.005)&   &     (0.005)&   \\
male                &      -0.029&   &       0.096&   &      -0.014&   &      -0.004&   \\
                    &     (0.099)&   &     (0.100)&   &     (0.097)&   &     (0.109)&   \\
riskloss            &       0.006&   &      -0.034&   &       0.010&   &       0.011&   \\
                    &     (0.027)&   &     (0.034)&   &     (0.027)&   &     (0.030)&   \\
muslim              &       0.011&   &       0.132&   &       0.032&   &       0.043&   \\
                    &     (0.125)&   &     (0.163)&   &     (0.125)&   &     (0.136)&   \\
christian           &      -0.045&   &      -0.025&   &      -0.021&   &      -0.018&   \\
                    &     (0.174)&   &     (0.173)&   &     (0.193)&   &     (0.210)&   \\
income10k           &            &   &            &   &      -0.043&   &      -0.043&   \\
                    &            &   &            &   &     (0.046)&   &     (0.050)&   \\
v205                &            &   &            &   &      -0.048&   &      -0.051&   \\
                    &            &   &            &   &     (0.084)&   &     (0.083)&   \\
education           &            &   &            &   &      -0.012&   &      -0.011&   \\
                    &            &   &            &   &     (0.051)&   &     (0.051)&   \\
Constant               &       1.464&***&       1.554&***&       1.482&***&       1.494&***\\
                    &     (0.243)&   &     (0.244)&   &     (0.245)&   &     (0.276)&   \\
education           &       0.258&   &       1.487&   &       0.279&*  &       0.283&** \\
                    &     (0.175)&   &     (1.101)&   &     (0.157)&   &     (0.136)&   \\
v106                &       0.013&   &      -0.219&   &       0.017&   &       0.016&   \\
                    &     (0.037)&   &     (0.189)&   &     (0.042)&   &     (0.052)&   \\
male                &       0.364&   &      21.856&***&       0.265&   &       0.316&   \\
                    &     (0.928)&   &     (5.590)&   &     (1.143)&   &     (1.547)&   \\
riskloss            &       0.312&   &      -0.922&   &       0.317&   &       0.316&   \\
                    &     (0.304)&   &     (1.099)&   &     (0.300)&   &     (0.358)&   \\
muslim              &     -39.520&***&      -7.033&** &     -18.168&***&     -15.615&***\\
                    &     (1.705)&   &     (3.298)&   &     (1.453)&   &     (2.356)&   \\
christian           &      -1.260&*  &      -4.934&***&      -1.181&   &      -0.934&   \\
                    &     (0.737)&   &     (1.749)&   &     (0.873)&   &     (0.936)&   \\
population          &            &   &      -0.003&   &            &   &            &   \\
                    &            &   &     (0.003)&   &            &   &            &   \\
v04b                &            &   &      -0.262&   &            &   &      -0.077&   \\
                    &            &   &     (0.191)&   &            &   &     (0.155)&   \\
Constant               &      -1.963&   &      -7.691&   &      -2.155&   &      -1.935&   \\
                    &     (1.584)&   &     (6.725)&   &     (1.986)&   &     (2.526)&   \\
lnalpha             &      -3.167&***&      -2.400&***&      -3.174&***&      -3.106&***\\
                    &     (1.083)&   &     (0.807)&   &     (1.091)&   &     (1.087)&   \\
\hline
N.obs.              &         127&   &         127&   &         126&   &         126&   \\
\hline \multicolumn{9}{p{\textwidth}} {\footnotesize{\textbf{Notes:} Dependent variable: coins appropriated by the dictator. Models 1 and 3: OLS regression, models 2 and 4: left-censored Tobit regression. All models include village fixed-effects. Robust standard errors clustered at the village level. Compared to models 1 and 2, models 3 and 4 controls for income, finance, and education levels. Controls include: age,  gender, religion, estimation of risk preferences. Symbols $***$, $**$, and $*$ indicate significance at the 1\%, 5\% and 10\% level, respectively.}} \end{tabular}
